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sspmod_am_cvt.c File Reference

Conversion of acoustic likelihoods/probabilities. More...

Functions

void spr_am_cvt_free (SprSspInfo *Info)
 
int spr_am_cvt_setup (SprSspInfo *Info, const char **descript, void *aux_info)
 
int spr_am_cvt_process (SprSspInfo *Info, const void *frame_in, void *frame_out)
 

Detailed Description

Conversion of acoustic likelihoods/probabilities.

Conversion of (scaled) acoustic likelihoods / probabilities.


[am_cvt]
%
Conversion of (scaled) acoustic likelihoods / probabilities.
from <options>
options (options are seperated by a ';' character):
log=<int:val>(0)
indicate whether the input/output is / must be stored as linear values of log values
LIN
indicate that the input/output is / must be stored as linear values
LOG
indicate that the input/output is / must be stored as log values
LOG10(NULL)
indicate that the input/output is / must be stored as log10 values
scale=<F32:val>(-1)
the input/output values are / must be multiplied with this factor (log values) or raisen to that power (linear)
scale_inv=<F32:val>(-1)
1.0/<scale>, i.e. multiply with this factor (log values) or raise to that power (linear) to obtain natural log / linear values
norm=<int:val>(1)
indicate whether the input/output is/must be normalized (1) or not (0)
NORM
indicate that the input/output is / must be normalized
NONORM
indicate that the input/output is not / must not be normalized
floor=<int:val>(0)
indicate whether the input/output is / must be floored (1) or not (0)
FLOOR
indicate that the input/output is / must be floored
NOFLOOR
indicate that the input/output is not / must not be floored
postprob=<int:val>(0)
indicate whether the inputs/outputs are (scaled) posteriors (1) or (scaled) likelihoods (0)
POSTPROB
indicate that the inputs/outputs are (scaled) posteriors
LIKELIHOOD
indicate that the inputs/outputs are (scaled) likelihoods
tot_prob=<int:val>(0)
indicate whether the total (log) likelihood is / must be calculated or not
TOT_PROB(NULL)
indicate whether the total (log) likelihood is / must be calculated
entropy=<int:val>(0)
indicate whether the entropy is / must be calculated or not
ENTROPY(NULL)
the entropy is / must be calculated
Define the input format, i.e. select one of the various formats that the acoustic likelihoods/probabilities can have.
to <options>
options (options are seperated by a ';' character):
log=<int:val>(0)
indicate whether the input/output is / must be stored as linear values of log values
LIN
indicate that the input/output is / must be stored as linear values
LOG
indicate that the input/output is / must be stored as log values
LOG10(NULL)
indicate that the input/output is / must be stored as log10 values
scale=<F32:val>(-1)
the input/output values are / must be multiplied with this factor (log values) or raisen to that power (linear)
scale_inv=<F32:val>(-1)
1.0/<scale>, i.e. multiply with this factor (log values) or raise to that power (linear) to obtain natural log / linear values
norm=<int:val>(1)
indicate whether the input/output is/must be normalized (1) or not (0)
NORM
indicate that the input/output is / must be normalized
NONORM
indicate that the input/output is not / must not be normalized
floor=<int:val>(0)
indicate whether the input/output is / must be floored (1) or not (0)
FLOOR
indicate that the input/output is / must be floored
NOFLOOR
indicate that the input/output is not / must not be floored
postprob=<int:val>(0)
indicate whether the inputs/outputs are (scaled) posteriors (1) or (scaled) likelihoods (0)
POSTPROB
indicate that the inputs/outputs are (scaled) posteriors
LIKELIHOOD
indicate that the inputs/outputs are (scaled) likelihoods
tot_prob=<int:val>(0)
indicate whether the total (log) likelihood is / must be calculated or not
TOT_PROB(NULL)
indicate whether the total (log) likelihood is / must be calculated
entropy=<int:val>(0)
indicate whether the entropy is / must be calculated or not
ENTROPY(NULL)
the entropy is / must be calculated
Define the output format, i.e. select one of the various formats that the acoustic likelihoods/probabilities can have.
read <fname>
Read the priors from a given file. The file <fname> can be a mvg-file, an hmm-file or a simple matrix (vector) containing the (scaled) priors. In case an HMM is read, the average mixture size is set as well (see the lmo command).
set priors <expression> ...
Set the priors to some values.
normalize priors
Normalize the priors so they add up to 1.0
lmo <log_min_out>(0.0) [av_ngps](1.0)
Set the relative flooring value to avoid zero probs for non evaluated Gaussians. If a non-zero <av_ngps> (average number of Gaussians per state) is given, the LMO is automatically decreased by log2(av_ngps). If an HMM was read before (see the read command) and <av_ngps> is zero, then <av_ngps> is derived from the HMM.

Author
Kris Demuynck
Date
09 Aug 2016